Combinatorial multivalent interactions drive cooperative assembly of the COPII coat

Protein secretion is initiated at the endoplasmic reticulum by the COPII coat, which self-assembles to form vesicles. Here, we examine the mechanisms by which a cargo-bound inner coat layer recruits and is organized by an outer scaffolding layer to drive local assembly of a stable structure rigid enough to enforce membrane curvature. An intrinsically disordered region in the outer coat protein, Sec31, drives binding with an inner coat layer via multiple distinct interfaces, including a newly defined charge-based interaction. These interfaces combinatorially reinforce each other, suggesting coat oligomerization is driven by the cumulative effects of multivalent interactions. The Sec31 disordered region could be replaced by evolutionarily distant sequences, suggesting plasticity in the binding interfaces. Such a multimodal assembly platform provides an explanation for how cells build a powerful yet transient scaffold to direct vesicle traffic

Decision Support for Intoxication Prediction Using Graph Convolutional Networks

Every day, poison control centers (PCC) are called for immediate classification and treatment recommendations if an acute intoxication is suspected. Due to the time-sensitive nature of these cases, doctors are required to propose a correct diagnosis and intervention within a minimal time frame. Usually the toxin is known and recommendations can be made accordingly. However, in challenging cases only symptoms are mentioned and doctors have to rely on their clinical experience. Medical experts and our analyses of a regional dataset of intoxication records provide evidence that this is challenging, since occurring symptoms may not always match the textbook description due to regional distinctions, inter-rater variance, and institutional workflow. Computer-aided diagnosis (CADx) can provide decision support, but approaches so far do not consider additional information of the reported cases like age or gender, despite their potential value towards a correct diagnosis. In this work, we propose a new machine learning based CADx method which fuses symptoms and meta information of the patients using graph convolutional networks. We further propose a novel symptom matching method that allows the effective incorporation of prior knowledge into the learning process and evidently stabilizes the poison prediction. We validate our method against 10 medical doctors with different experience diagnosing intoxication cases for 10 different toxins from the PCC in Munich and show our method's superiority in performance for poison prediction.Comment: 10 pages, 3 figure

Perfil da demanda atendida em ambulatório de doenças profissionais e a presença de lesões por esforços repetitivos

OBJECTIVE: To assess the profile of outpatients seen at an occupational disease clinic of a general and repetitive strain injury (RSI) patients by using multivariate analyze. METHODS: The first 565 visit registries for the year 1996 were assessed regarding their social and demographics aspects, work characteristics, and diagnosis. All the variables were analyzed by univariate analysis method. Bivariate data were analyzed using Chi square test (chi²) for categorical variables, comparison of means or ranges for quantitative and categorical variables. Multivariate data were analyzed using log-linear models with logit-transformation to identify the groups with a larger proportion of RSI. RESULTS: Women sought the occupational diseases clinic more frequently than men, and there was a predominance of RSI cases. The occupation distribution was in order of priority as following: office workers, factory workers, and service workers. Of them, 56.9% were from the economic sector of services. RSI was seen in 56% of the patients diagnosed at their first visit. CONCLUSIONS: The analysis confirms the trends seen in the 80s regarding the epidemiological changes in occupational diseases, when RSI started to be identified and displaced to a secondary position the other common diseases (due to physical and chemical hazards) because of inadequacy of ergonomics.OBJETIVO: Caracterizar o perfil do paciente atendido em ambulatório de doenças profissionais de um hospital geral e, em especial, o portador da condição patológica mais freqüente: as lesões por esforços repetitivos (LER). MÉTODOS: Foram analisadas as 565 fichas-resumo de atendimento ambulatorial em saúde do trabalhador, em 1996, em função de variáveis sociodemográficas, de características do trabalho e de diagnóstico. Foram adotados os seguintes procedimentos: descrição univariável de todas as variáveis; análise bivariada, utilizando-se o teste do qui-quadrado (chi²) para variáveis categóricas; comparação de médias ou amplitudes para variável categórica e outra quantitativa; análise multivariada por meio de modelos log-linear, com transformação logit, para detectar os grupos com maior proporção de LER. RESULTADOS: Houve predomínio no atendimento de pacientes do sexo feminino com menos de 40 anos, sendo que, nos casos de LER, esse predomínio mostrou-se mais acentuado. As ocupações agrupadas apareceram em ordem decrescente, na seqüência: administrativos, operários e prestadores de serviços, sendo 59,6% pertencentes ao ramo de atividade econômica de serviços. As LER corresponderam a 56% dos diagnósticos feitos nas primeiras consultas. CONCLUSÕES: Confirmou-se a tendência de mudança no perfil epidemiológico das demandas atendidas no ambulatório de doenças profissionais, no final da década de 80, quando emergiram as LER. Deslocaram-se para uma minoria as antigas doenças profissionais decorrentes da exposição a riscos químicos e físicos, em função daquelas relacionadas às condições ergonômicas inadequadas

Los desafíos en la continuidad de atención de personas viviendo con VIH en el Perú durante la pandemia de la COVID-19 [Challenges to the continuity of care of people living with HIV throughout the COVID-19 crisis in Peru]

The COVID-19 pandemic and societal response implemented may interact with the ongoing HIV epidemic in multiple ways. There are approximately 87000 people living with HIV (PLWH) who are at risk of developing COVID-19 in Peru and 67,000 of them are on antiretroviral therapy (ART) and at risk of limitations in their access to ART, compromising their adherence and their health during the pandemic. Finally, the potential effect of the pandemic on the mental health of PLWH is not documented. This opinion aims to: describe the clinical implications of the HIV/SARS-CoV-2 coinfection; discuss the challenges to the continuity of care of PLWH in Peru during the COVID-19 crisis; and comment possible implications that the COVID-19 crisis may pose on the mental health of PLWH

The emotional movie database (EMDB): a self-report and psychophysiological study

Film clips are an important tool for evoking emotional responses in the laboratory. When compared with other emotionally potent visual stimuli (e.g., pictures), film clips seem to be more effective in eliciting emotions for longer periods of time at both the subjective and physiological levels. The main objective of the present study was to develop a new database of affective film clips without auditory content, based on a dimensional approach to emotional stimuli (valence, arousal and dominance). The study had three different phases: (1) the pre-selection and editing of 52 film clips (2) the self-report rating of these film clips by a sample of 113 participants and (3) psychophysiological assessment [skin conductance level (SCL) and the heart rate (HR)] on 32 volunteers. Film clips from different categories were selected to elicit emotional states from different quadrants of affective space. The results also showed that sustained exposure to the affective film clips resulted in a pattern of a SCL increase and HR deceleration in high arousal conditions (i.e., horror and erotic conditions). The resulting emotional movie database can reliably be used in research requiring the presentation of non-auditory film clips with different ratings of valence, arousal and dominance.Portuguese Foundation for Science and Technology with individual grants (SFRH/BD/41484/2007 and SFRH/BD/64355/2009

Genome-wide DNA methylation analysis for diabetic nephropathy in type 1 diabetes mellitus

BACKGROUND: Diabetic nephropathy is a serious complication of diabetes mellitus and is associated with considerable morbidity and high mortality. There is increasing evidence to suggest that dysregulation of the epigenome is involved in diabetic nephropathy. We assessed whether epigenetic modification of DNA methylation is associated with diabetic nephropathy in a case-control study of 192 Irish patients with type 1 diabetes mellitus (T1D). Cases had T1D and nephropathy whereas controls had T1D but no evidence of renal disease. METHODS: We performed DNA methylation profiling in bisulphite converted DNA from cases and controls using the recently developed Illumina Infinium(R) HumanMethylation27 BeadChip, that enables the direct investigation of 27,578 individual cytosines at CpG loci throughout the genome, which are focused on the promoter regions of 14,495 genes. RESULTS: Singular Value Decomposition (SVD) analysis indicated that significant components of DNA methylation variation correlated with patient age, time to onset of diabetic nephropathy, and sex. Adjusting for confounding factors using multivariate Cox-regression analyses, and with a false discovery rate (FDR) of 0.05, we observed 19 CpG sites that demonstrated correlations with time to development of diabetic nephropathy. Of note, this included one CpG site located 18 bp upstream of the transcription start site of UNC13B, a gene in which the first intronic SNP rs13293564 has recently been reported to be associated with diabetic nephropathy. CONCLUSION: This high throughput platform was able to successfully interrogate the methylation state of individual cytosines and identified 19 prospective CpG sites associated with risk of diabetic nephropathy. These differences in DNA methylation are worthy of further follow-up in replication studies using larger cohorts of diabetic patients with and without nephropathy

Upregulated sirtuin 1 by miRNA-34a is required for smooth muscle cell differentiation from pluripotent stem cells

© 2015 Macmillan Publishers Limited. All rights reserved. microRNA-34a (miR-34a) and sirtuin 1 (SirT1) have been extensively studied in tumour biology and longevityaging, but little is known about their functional roles in smooth muscle cell (SMC) differentiation from pluripotent stem cells. Using well-established SMC differentiation models, we have demonstrated that miR-34a has an important role in SMC differentiation from murine and human embryonic stem cells. Surprisingly, deacetylase sirtuin 1 (SirT1), one of the top predicted targets, was positively regulated by miR-34a during SMC differentiation. Mechanistically, we demonstrated that miR-34a promoted differentiating stem cells' arrest at G0G1 phase and observed a significantly decreased incorporation of miR-34a and SirT1 RNA into Ago2-RISC complex upon SMC differentiation. Importantly, we have identified SirT1 as a transcriptional activator in the regulation of SMC gene programme. Finally, our data showed that SirT1 modulated the enrichment of H3K9 tri-methylation around the SMC gene-promoter regions. Taken together, our data reveal a specific regulatory pathway that miR-34a positively regulates its target gene SirT1 in a cellular context-dependent and sequence-specific manner and suggest a functional role for this pathway in SMC differentiation from stem cells in vitro and in vivo

Effective Dark Matter Model: Relic density, CDMS II, Fermi LAT and LHC

The Cryogenic Dark Matter Search recently announced the observation of two signal events with a 77% confidence level. Although statistically inconclusive, it is nevertheless suggestive. In this work we present a model-independent analysis on the implication of a positive signal in dark matter scattering off nuclei. Assuming the interaction between (scalar, fermion or vector) dark matter and the standard model induced by unknown new physics at the scale $\Lambda$, we examine various dimension-6 tree-level induced operators and constrain them using the current experimental data, e.g. the WMAP data of the relic abundance, CDMS II direct detection of the spin-independent scattering, and indirect detection data (Fermi LAT cosmic gamma-ray), etc. Finally, the LHC reach is also explored